LIBTwinSVM: A Library for Twin Support Vector Machines Article Swipe
Amir M. Mir
,
Mahdi Rahbar
,
Jalal A. Nasiri
·
YOU?
·
· 2020
· Open Access
·
· DOI: https://doi.org/10.48550/arxiv.2001.10073
YOU?
·
· 2020
· Open Access
·
· DOI: https://doi.org/10.48550/arxiv.2001.10073
This paper presents LIBTwinSVM, a free, efficient, and open source library for Twin Support Vector Machines (TSVMs). Our library provides a set of useful functionalities such as fast TSVMs estimators, model selection, visualization, a graphical user interface (GUI) application, and a Python application programming interface (API). The benchmarks results indicate the effectiveness of the LIBTwinSVM library for large-scale classification problems. The source code of LIBTwinSVM library, installation guide, documentation, and usage examples are available at https://github.com/mir-am/LIBTwinSVM.
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Metadata
- Type
- preprint
- Language
- en
- Landing Page
- http://arxiv.org/abs/2001.10073
- https://arxiv.org/pdf/2001.10073
- OA Status
- green
- Cited By
- 1
- References
- 12
- Related Works
- 10
- OpenAlex ID
- https://openalex.org/W3004225272
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